Of all the luggage handled by the airlines at JFK in the last 2 years, 13% was lost or stolen or damaged. Consider a randomly selected sample of 1500 pieces of outgoing luggage at JFK International Airport. Since we can view this as 1500 independent Bernoulli trials, this will be considered a binomial experiment.
Approximate the probability using normal approximation to the binomial that strictly less than 160 pieces of luggage are lost or stolen.
a. |
.032 |
|
b. |
.003 |
|
c. |
.1766 |
|
d. |
.006 |
|
e. |
.0762 |
We shall use the Normal Approximation to the Binomial to find the probability that strictly less than 160 pieces of luggage will be lost or stolen or damaged. After a continuity correction, we would be computing:
a. |
P(X < 160.5) |
|
b. |
P(X < 161) |
|
c. |
P(X < 160) |
|
d. |
The correct answer does not appear as one of the choices |
|
e. |
P(X < 159.5) |
Answer)
N = 1500
P = 0.13
First we need to check the conditions of normality that is if n*p and n*(1-p) both are greater than 5 or not
N*p = 195
N*((1-p) = 1305
Both the conditions are met so we can use standard normal z table to estimate the probability
Z = (x-mean)/s.d
Mean = n*p = 195
S.d = 13.0249760076
We need to find
P(x<160)
By continuity correction
P(x<159.5)
Z = (159.5-195)/13.0249760076
Z = -2.73
From z table, p(z<-2.73) = 0.003
Second)
P(x<159.5)
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